AI-Native Platform Engineer Intern

About Yodlee

At Yodlee, we help power some of the largest financial institutions, banks, wealth management firms, and fintech platforms in the country through trusted financial data connectivity and intelligence. For more than two decades, we’ve supported market leaders with the infrastructure and insights that enable innovative digital financial experiences.

About the role

Yodlee is building AI-enabled engineering platforms to accelerate delivery of next-generation APIs, Open Finance solutions, and intelligent financial applications. As an AI-Native Platform Engineer Intern, you will work alongside experienced architects and engineers to design, build, and enhance AI-powered applications, AI agents, and developer productivity solutions using modern AI-assisted engineering practices.

This internship provides hands-on exposure to enterprise-scale API platforms, GenAI applications, AI coding assistants, and cloud-native engineering workflows

What you'll do

• Develop and enhance AI-enabled applications, APIs, and automation tools.
• Build modular GenAI applications, AI agents, and agentic workflows using enterprise AI platforms such as Anthropic Claude, AWS Bedrock or similar technologies.
• Leverage AI coding assistants (e.g., Cursor, GitHub Copilot) for development, testing, debugging, and documentation.
• Support development of scalable REST APIs and microservices
• Participate in AI-assisted testing, debugging, and automation workflows.
• Collaborate with engineers, architects, and product teams on innovative platform initiatives
• Research emerging AI technologies and contribute ideas to improve engineering productivity and automation maturity.
• Assist in troubleshooting and resolving technical issues.
• Take ownership of assigned features, prototypes, or automation initiatives under mentorship guidance.

Qualifications

• Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Engineering, AI/ML, or related field.
• Strong programming foundation in Python, Java, JavaScript, or TypeScript.
• Familiarity with LLMs, prompt engineering, RAG, AI agents, tool/function calling, API integration, and AI-assisted application development.
• Basic understanding of REST APIs, microservices, and cloud platforms (AWS preferred).
• Exposure to AI coding assistants such as GitHub Copilot, Cursor, or equivalent tools.
• Strong problem-solving and analytical skills.
• Ability to work independently and collaboratively in a fast-paced environment.
• Excellent communication and learning mindset.